Types of Statistical Tests

Statistical tests may be used at a healthcare organization for many purposes:

making data-driven decisions, 

• Statistical tests help healthcare leaders analyze patterns, trends, and outcomes from patient data, enabling informed decision-making rather than relying on assumptions. 

• Example: A hospital uses regression analysis to predict readmission risk. Based on those predictions, they allocate care managers to high-risk patients. 

• Impact: Improves resource allocation, enhances patient care, and supports strategic planning. 

comparing cost and effectiveness of healthcare services, 

• Healthcare organizations use t-tests, ANOVA, or regression analysis to evaluate whether a new treatment or intervention provides better outcomes at the same or reduced cost. 

• Example: ANOVA is used to compare three chronic care management programs' costs and effectiveness. 

• Impact: Identifies the most cost-efficient service models, informing budgeting and contracting decisions. 

measuring outcomes and quality improvement initiatives 

• Healthcare organizations use t-tests, ANOVA, or regression analysis to evaluate whether a new treatment or intervention provides better outcomes at the same or reduced cost. 

• Example: ANOVA is used to compare three chronic care management programs' costs and effectiveness. 

• Impact: Identifies the most cost-efficient service models, informing budgeting and contracting decisions. 

reporting to internal and external stakeholders 

• Healthcare organizations use t-tests, ANOVA, or regression analysis to evaluate whether a new treatment or intervention provides better outcomes at the same or reduced cost. 

• Example: ANOVA is used to compare three chronic care management programs' costs and effectiveness. 

• Impact: Identifies the most cost-efficient service models, informing budgeting and contracting decisions